Triple

T764908
Position Surface form Disambiguated ID Type / Status
Subject Nice Côte d’Azur Airport E16153 entity
Predicate serves P98 FINISHED
Object Côte d’Azur E73737 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Côte d’Azur | Statement: [Nice Côte d’Azur Airport, serves, Côte d’Azur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Côte d’Azur
Context triple: [Nice Côte d’Azur Airport, serves, Côte d’Azur]
  • A. French Riviera chosen
    The French Riviera is a glamorous Mediterranean coastline in southeastern France renowned for its sunny climate, beaches, luxury resorts, and vibrant artistic and cultural heritage.
  • B. Roc d’Azur
    Roc d’Azur is a major annual mountain biking festival and race event held in France, attracting thousands of amateur and professional cyclists from around the world.
  • C. Romandie
    Romandie is the French-speaking region of western Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • D. Camargue
    Camargue is a vast wetland region in southern France known for its salt marshes, wild white horses, black bulls, and rich birdlife including flamingos.
  • E. Provence-Alpes-Côte d’Azur
    Provence-Alpes-Côte d’Azur is a region in southeastern France known for its Mediterranean coastline, picturesque villages, and cultural hubs such as Marseille and Nice.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69dfeb08190b54a476cfa66e6d6 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d78649c8190969a3c0c2b5a8e4d completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:37 p.m.